Josef Heinen - Scientific Visualization with GR
[25 July 2014]
Python developers often get frustrated when managing visualization packages that cover the specific needs in scientific or engineering environments. The GR framework could help. GR is a library for visualization applications ranging from publication-quality 2D graphs to the creation of complex 3D scenes and can easily be integrated into existing Python environments or distributions like Anaconda.
Python has long been established in software development departments of research and industry, not least because of the proliferation of libraries such as *SciPy* and *Matplotlib*. However, when processing large amounts of data, in particular in combination with GUI toolkits (*Qt*) or three-dimensional visualizations (*OpenGL*), it seems that Python as an interpretative programming language may be reaching its limits.
Links to similar talks, tutorials or presentations can be found [here]. Unfortunately, most of them are in German language.
The GR framework has already been presented in a talk at PyCon DE  and , during a [poster session] at PyCon US 2013, and at [PythonCamps 2013] in Cologne. The slides for the PyCon.DE 2013 talk can be found [here].
As part of a collaboration the GR framework has been integrated into [NICOS] (a network-based control system completely written in Python) as a replacement for PyQwt.